Hybrid System Based Interpolation Line Search Optimization Applied to Nonlinear Controller in a Power Network(Hybrid Dynamical Systems,<Special Section>Concurrent/Hybrid Systems: Theory and Applications)

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概要

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• In this paper, the interpolation line search (ILS) algorithm to find the desirable step length in a numerical optimization method is investigated to determine the optimal saturation limits with non-smooth nonlinearities. The simple steepest descent algorithm is used to illustrate that the ILS algorithm can provide adequate reductions in an objective function at minimal cost with fast convergence. The power system stabilizer (PSS) with output limits is used as an example for a nonlinear controller to be tuned. The efficient computation to implement the ILS algorithm in the steepest descent method is available by using the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The simulation results are given to show the performance improved by the ILS algorithm.

• 社団法人電子情報通信学会の論文
• 2006-11-01

著者

• Park Jung‐wook

  Yonsei Univ. Seoul Kor

• Song Kyung‐bin

  Department Of Electrical Engineering Soongsil University

• Song Kyung-bin

  Department Of Electrical Engineering Soongsil University

• PARK Jung-Wook

  School of Electrical and Electronic Engineering, Yonsei University

• Park Jung-wook

  School Of Electrical And Electronic Engineering Yonsei University

関連論文

• A Way Enabling Mechanism Based on the Branch Prediction Information for Low Power Instruction Cache
• Hybrid System Based Interpolation Line Search Optimization Applied to Nonlinear Controller in a Power Network(Hybrid Dynamical Systems,Concurrent/Hybrid Systems: Theory and Applications)
• Low-Power Embedded Processor Design Using Branch Direction
• Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling(Numerical Analysis and Optimization)
• First Derivatives Estimation of Nonlinear Parameters in Hybrid System(Concurrent Systems)
• Hybrid System Based Nonlinear Least Squares Optimization Applied to a Multi-Machine Power System Control(Hybrid Dynamical Systems,Concurrent/Hybrid Systems: Theory and Applications)

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